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Machine Learning Object Detection Jobs in Indiana

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

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Machine Learning Object Detection information

What are the key skills and qualifications needed to thrive as a machine learning object detection engineer, and why are they important?

To excel as a Machine Learning Object Detection Engineer, you need a solid background in computer science, mathematics, and deep learning principles, often backed by a relevant degree and experience in computer vision. Familiarity with frameworks like TensorFlow, PyTorch, and OpenCV, as well as experience with annotation tools and GPU computing, is typically required. Strong problem-solving abilities, attention to detail, and effective communication are vital soft skills for collaborating with cross-functional teams and addressing complex challenges. These competencies ensure accurate model development, efficient deployment, and continual improvement of object detection systems in real-world applications.

What are some common challenges faced when working on machine learning object detection projects?

One of the main challenges in machine learning object detection roles is dealing with the quality and quantity of annotated data, as accurate labeling is essential for model performance. Another common challenge is managing variations in object scale, lighting, and occlusion within real-world images, which can affect detection accuracy. Additionally, balancing model accuracy with computational efficiency—especially for real-time applications—often requires careful model selection and optimization. Collaboration with data engineers and domain experts is also typical to ensure data relevance and model applicability.

What is machine learning object detection?

Machine learning object detection is a field within artificial intelligence that focuses on identifying and locating objects within images or videos. It uses algorithms and deep learning models, such as convolutional neural networks (CNNs), to analyze visual data and predict the presence and position of various objects. Object detection is widely used in applications like autonomous vehicles, security surveillance, and image search. The process typically involves training models on labeled datasets so they can accurately detect and classify multiple objects in complex scenes.
What are popular job titles related to Machine Learning Object Detection jobs in Indiana? For Machine Learning Object Detection jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Machine Learning Object Detection jobs? Cities in Indiana with the most Machine Learning Object Detection job openings:
Infographic showing various Machine Learning Object Detection job openings in Indiana as of July 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.

Senior Computer Vision Engineer

Matrix Design Group LLC

Newburgh, IN • On-site

$99K - $136K/yr

Full-time

Re-posted 26 days ago


Job description

Job Summary:
Matrix Design Group LLC is a company that designs, manufactures, and sells innovative technological products to enhance safety. The Senior Computer Vision Engineer will collaborate with software engineers and product managers to develop vision-based artificial intelligence algorithms, ensuring the design of safe and effective computer vision solutions.
Responsibilities:
• Prepare customer-facing presentations for custom model deployments
• Implement CI/CD pipelines for models, data, and source code
• Work with product and project managers to ensure that projects proceed on time and on budget
• Work with other engineers to develop a working understanding of how the AI is developing
• Document process steps to ensure reasonable human oversight
• Work with other engineers to monitor changes in development and implement transfer learning and knowledge distillation between iterative machine learning models
• Mentor junior engineers and interns
• Participate in code reviews and sprint planning
• Understand and apply best practices for object detection modeling
• Understand and apply TensorFlow, PyTorch, and ONNX core concepts
• Understand and apply hardware accelerator compilation and execution
• Understand and apply Jupyter Notebooks/Google Colab concepts
• Understand and apply source control best practices for machine learning, ETL, and data annotation pipelines
Qualifications:
Required:
• All applicants must be able to provide proof of eligibility to work in the United States.
• Employment is contingent upon the successful completion of the I-9 form, as required by federal law.
• Candidates will be required to undergo an employment verification process before beginning work.
• Bachelor’s degree in a related field, such as computer science, software engineering or data science, is recommended.
• 7+ years of experience in the ML space.
• An expert-level understanding of Python with a focus on ML framework such as TensorFlow or PyTorch.
• Proficient with state-of-the-art object detection algorithms such as YOLO, DETR, and DINO.
• Experience with containerization technologies such as Docker, Kubernetes, etc.
• Experience developing software using one or more of the following languages (C/C++, C#, Python).
• Experience with Linux and/or Windows OS.
• Experience with model, container, and package registries.
• Experience with ML tools such as DVC, MLFlow, Lake FS, Label Studio, Azure ML, Azure AI Foundry.
• Experience with SQL databases, vector embeddings, and vector databases such as Milvus, pgvector, Pinecone, Chroma, etc.
• Experience with multimodal models such as CLIP, GPT-4V, Llama.
• Experience with classical CV algorithms such as Canny Edge Detector, SIFT, RANSAC, Optical Flow, SLAM, etc.
• Strong understanding of source control concepts and CI/CD pipelines.
• Must have strong communication, computer, documentation, presentation, and interpersonal skills.
Preferred:
• Master’s degree in Artificial Intelligence a plus.
Company:
Matrix Design Group (Matrix) is the safety and productivity technology leader for industrial applications where people and mobile equipment work in close proximity. Founded in 1996, the company is headquartered in Newburgh, USA, with a team of 201-500 employees. The company is currently Growth Stage.